A surprisingly easy way to multiply an AI model’s profit is to drive decisions via expected value instead of predictive scores. Here's how, illustrated with fraud detection.

Developers are discovering that Model Context Protocol shines at providing AI coding agents with highly relevant software engineering context, on demand, at run time.

A token leaks. A bad package slips in. A login trick works. An old tool shows up again. At first, it feels like the usual mess. Then you see the pattern: attackers are not always breaking in. They are ...

A max-severity vulnerability in the latest Python FastAPI version of the ChromaDB project allows unauthenticated attackers to ...

Fox Tempest is a financially motivated threat actor operating a malware‑signing‑as‑a‑service (MSaaS) used by other ...

Benchmarking AI limits: Microsoft's DELEGATE-52 benchmark shows most AI models falter in extended workflows, corrupting significant portions of content. Domain-specific success: Python-based, highly ...

Copilot adoption milestone: Microsoft 365 Copilot has reached 20 million paid seats, a 33% increase since January 2026, with ...

r"""Interface for computation of log likelihood (and similar) measures of model fit (of a Gaussian Process) along with its gradient and hessian. As a preface, you should read gpp_math.hpp's comments ...

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...

What would a Tesla be without controversy and split opinions? The Tesla Model Y’s midcycle refresh brought significant enough changes to earn it a spot in our 2026 SUV of the Year competition. The ...

Python has been the language of data science since before machine learning was trendy, and now you can use it for building AI agents, too. Get the scoop on the new Google Agent Development Kit and ...